Bain's research leverages computational tools to reveal previously inaccessible patterns in Hildegard of Bingen's music, allowing for a more nuanced understanding of her compositional techniques.
Using a comprehensive dataset of late medieval chant, Bain's team applies computational analysis to identify stylistic similarities and differences, shedding light on Hildegard's unique contributions to the genre.
The lecture discusses how computational methodologies complement traditional musicological approaches, enhancing the depth of insights into Hildegard's work and the medieval chant repertory.
Bain highlights the significance of these findings in contextualizing Hildegard's music within its historical framework, illustrating the potential of technology to uncover new dimensions of medieval compositions.
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